The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "23203532 (up from 22949234 yesterday: 1.11 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "804416 (up from 799252 yesterday: 0.65 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5353053

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.47



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5667112 44572 0.79 1046668 176353 983 0.56 3.11
Brazil 3582362 50032 1.42 874485 114250 892 0.79 3.19
India 3044940 69239 2.33 1294217 56706 912 1.63 1.86
Russia 949531 4860 0.51 105641 16268 120 0.74 1.71
South Africa 607045 3707 0.61 103755 12987 144 1.12 2.14
Peru 576067 9008 1.59 168575 27245 211 0.78 4.73
Mexico 556216 6482 1.18 122023 60254 644 1.08 10.83
Colombia 522138 0 0.00 215957 16568 0 0.00 3.17
Chile 395708 1939 0.49 38050 10792 69 0.64 2.73
Spain 386054 0 0.00 97532 28838 0 0.00 7.47
Iran 356792 2028 0.57 50040 20502 126 0.62 5.75
Argentina 336802 7759 2.36 140259 6848 118 1.75 2.03
United Kingdom 326595 1332 0.41 21023 41509 18 0.04 12.71
Saudi Arabia 306370 1184 0.39 28892 3619 39 1.09 1.18
Bangladesh 292625 2265 0.78 52765 3907 46 1.19 1.34
Pakistan 292174 586 0.20 13869 6231 12 0.19 2.13
France 275562 3602 1.32 50364 30517 9 0.03 11.07
Italy 258136 1071 0.42 10304 35430 3 0.01 13.73
Turkey 257032 1309 0.51 25163 6102 22 0.36 2.37
Germany 233861 832 0.36 22856 9272 6 0.06 3.96
Iraq 201050 3965 2.01 74346 6353 70 1.11 3.16
Philippines 187249 4884 2.68 89017 2966 26 0.88 1.58
Indonesia 151498 2090 1.40 41562 6594 94 1.45 4.35
Canada 126560 241 0.19 8037 9117 7 0.08 7.20
Qatar 116765 284 0.24 5854 193 0 0.00 0.17
Bolivia 108427 992 0.92 29634 4442 76 1.74 4.10
Ecuador 107089 608 0.57 20857 6277 29 0.46 5.86
Ukraine 105337 2389 2.32 32728 2286 38 1.69 2.17
Kazakhstan 104543 230 0.22 14176 1415 0 0.00 1.35
Israel 101933 1217 1.21 29715 819 10 1.24 0.80
Egypt 97237 89 0.09 2921 5243 12 0.23 5.39
Dominican Republic 90561 694 0.77 19146 1554 21 1.37 1.72
China 89654 38 0.04 1827 4711 2 0.04 5.25
Sweden 86068 0 0.00 5646 5810 0 0.00 6.75
Panama 85480 1088 1.29 19097 1878 19 1.02 2.20
Oman 83769 0 0.00 4610 609 0 0.00 0.73
Belgium 81468 574 0.71 12066 9988 3 0.03 12.26
Kuwait 79957 688 0.87 12509 513 2 0.39 0.64
Romania 77544 1189 1.56 25433 3233 37 1.16 4.17
Belarus 70285 174 0.25 2339 637 5 0.79 0.91
Netherlands 68051 595 0.88 13030 6225 6 0.10 9.15
Guatemala 67856 915 1.37 16877 2580 48 1.90 3.80
United Arab Emirates 66617 424 0.64 5857 372 2 0.54 0.56
Japan 61916 967 1.59 24112 1179 4 0.34 1.90
Poland 61181 900 1.49 14835 1951 13 0.67 3.19
Singapore 56266 50 0.09 3754 27 0 0.00 0.05
Portugal 55452 241 0.44 4142 1794 2 0.11 3.24
Honduras 53983 602 1.13 11298 1643 11 0.67 3.04
Nigeria 51905 601 1.17 8368 997 1 0.10 1.92
Morocco 50812 1565 3.18 25797 858 41 5.02 1.69
Bahrain 49038 377 0.77 7848 183 2 1.10 0.37
Ghana 43325 0 0.00 6311 261 0 0.00 0.60
Kyrgyzstan 42889 186 0.44 6590 1055 0 0.00 2.46
Armenia 42616 139 0.33 3775 850 8 0.95 1.99
Algeria 41068 401 0.99 10118 1424 6 0.42 3.47
Switzerland 39627 295 0.75 4215 2000 0 0.00 5.05
Ethiopia 39033 1368 3.63 21034 662 25 3.92 1.70
Venezuela 38957 738 1.93 19514 323 6 1.89 0.83
Uzbekistan 38532 458 1.20 13749 267 7 2.69 0.69
Afghanistan 37953 59 0.16 1243 1385 0 0.00 3.65
Azerbaijan 35105 184 0.53 2948 515 3 0.59 1.47
Costa Rica 33084 950 2.96 14897 348 8 2.35 1.05
Moldova 33072 588 1.81 7959 935 6 0.65 2.83
Kenya 32118 355 1.12 10755 542 10 1.88 1.69
Nepal 31117 634 2.08 11031 146 9 6.57 0.47
Serbia 30548 170 0.56 4666 695 3 0.43 2.28
Ireland 27908 153 0.55 1799 1777 1 0.06 6.37
Austria 25062 300 1.21 3850 732 2 0.27 2.92
Australia 24811 209 0.85 6916 502 17 3.51 2.02
El Salvador 24420 220 0.91 7370 654 8 1.24 2.68
Czechia 21790 239 1.11 5091 411 0 0.00 1.89
Cameroon 18762 0 0.00 1507 408 0 0.00 2.17
West Bank and Gaza 18476 163 0.89 6316 125 3 2.46 0.68
Bosnia and Herzegovina 17715 319 1.83 5839 532 6 1.14 3.00
Korea, South 17399 397 2.34 3033 309 0 0.00 1.78
Cote d’Ivoire 17374 64 0.37 1265 113 1 0.89 0.65
Denmark 16637 112 0.68 2609 622 1 0.16 3.74
Bulgaria 15131 0 0.00 3295 539 0 0.00 3.56
Madagascar 14277 59 0.41 3004 178 0 0.00 1.25
North Macedonia 13458 150 1.13 2567 563 6 1.08 4.18
Paraguay 12974 438 3.49 7489 192 10 5.49 1.48
Senegal 12850 161 1.27 2566 266 4 1.53 2.07
Sudan 12682 59 0.47 944 815 3 0.37 6.43
Lebanon 12191 611 5.28 7461 121 5 4.31 0.99
Kosovo 12168 0 0.00 4064 448 0 0.00 3.68
Zambia 10831 204 1.92 4603 279 2 0.72 2.58
Libya 10437 316 3.12 6746 188 8 4.44 1.80
Norway 10299 24 0.23 1046 264 0 0.00 2.56

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 664435 5535 0.84 157822 12131 185 1.55 1.83 16815.94 307.02 1 in 59
Florida 597597 4311 0.73 117569 10274 106 1.04 1.72 27824.02 478.36 1 in 36
Texas 589349 3717 0.63 144611 11581 163 1.43 1.97 20325.27 399.40 1 in 49
New York 429165 653 0.15 13398 32871 7 0.02 7.66 22061.00 1689.72 1 in 45
Georgia 252222 2592 1.04 62210 5092 94 1.88 2.02 23755.48 479.59 1 in 42
Illinois 219701 2356 1.08 37947 8083 17 0.21 3.68 17337.76 637.87 1 in 58
Arizona 197895 996 0.51 20893 4756 68 1.45 2.40 25987.89 624.57 1 in 38
New Jersey 189346 529 0.28 7317 15943 2 0.01 8.42 21317.49 1794.94 1 in 47
North Carolina 153640 1730 1.14 29634 2521 27 1.08 1.64 14649.01 240.37 1 in 68
Tennessee 142083 1239 0.88 33899 1563 14 0.90 1.10 20793.12 228.74 1 in 48
Louisiana 141720 0 0.00 25440 4687 0 0.00 3.31 30485.33 1008.22 1 in 33
Pennsylvania 133160 743 0.56 15692 7555 18 0.24 5.67 10401.51 590.14 1 in 96
Massachusetts 125360 144 0.12 7320 8921 20 0.22 7.12 18038.70 1283.69 1 in 55
Alabama 114532 900 0.79 25183 2011 15 0.75 1.76 23358.69 410.14 1 in 43
Ohio 114165 1119 0.99 22078 3975 20 0.51 3.48 9766.79 340.06 1 in 102
Virginia 112068 1211 1.09 21267 2443 7 0.29 2.18 13129.61 286.22 1 in 76
South Carolina 111295 917 0.83 20696 2493 34 1.38 2.24 21616.08 484.20 1 in 46
Michigan 106044 1426 1.36 14712 6655 21 0.32 6.28 10618.36 666.38 1 in 94
Maryland 103523 624 0.61 14158 3685 11 0.30 3.56 17123.47 609.53 1 in 58
Indiana 85317 1000 1.19 18195 3218 10 0.31 3.77 12672.94 478.00 1 in 79
Mississippi 77268 945 1.24 17387 2237 23 1.04 2.90 25962.41 751.64 1 in 39
Missouri 74952 1329 1.81 23320 1451 6 0.42 1.94 12212.28 236.42 1 in 82
Washington 70595 816 1.17 13054 1857 7 0.38 2.63 9270.65 243.86 1 in 108
Wisconsin 70009 950 1.38 16007 1081 13 1.22 1.54 12024.01 185.66 1 in 83
Minnesota 68867 734 1.08 13679 1807 8 0.44 2.62 12211.26 320.41 1 in 82
Nevada 65069 636 0.99 15995 1197 12 1.01 1.84 21125.23 388.62 1 in 47
Arkansas 56199 547 0.98 13026 674 11 1.66 1.20 18622.35 223.34 1 in 54
Iowa 55996 665 1.20 10703 1033 4 0.39 1.84 17747.94 327.41 1 in 56
Colorado 54864 653 1.20 7615 1918 8 0.42 3.50 9527.09 333.06 1 in 105
Oklahoma 52599 853 1.65 14868 725 10 1.40 1.38 13292.74 183.22 1 in 75
Connecticut 51519 0 0.00 1709 4460 0 0.00 8.66 14450.17 1250.95 1 in 69
Utah 48814 369 0.76 8112 385 2 0.52 0.79 15226.03 120.09 1 in 66
Kentucky 43066 801 1.90 12343 872 8 0.93 2.02 9639.47 195.18 1 in 104
Kansas 37388 493 1.34 9796 426 0 0.00 1.14 12833.49 146.23 1 in 78
Nebraska 31780 154 0.49 5389 376 0 0.00 1.18 16428.80 194.37 1 in 61
Idaho 29659 295 1.00 8549 306 1 0.33 1.03 16550.18 170.75 1 in 60
Puerto Rico 29577 731 2.53 11705 381 7 1.87 1.29 9261.06 119.30 1 in 108
Oregon 24710 289 1.18 5893 417 3 0.72 1.69 5858.59 98.87 1 in 171
New Mexico 24302 207 0.86 3506 743 4 0.54 3.06 11589.88 354.34 1 in 86
Rhode Island 21022 0 0.00 2000 1030 0 0.00 4.90 19844.04 972.28 1 in 50
Delaware 16828 58 0.35 1951 600 0 0.00 3.57 17281.39 616.17 1 in 58
District of Columbia 13534 65 0.48 1477 604 2 0.33 4.46 19176.79 855.83 1 in 52
South Dakota 11135 251 2.31 2268 160 1 0.63 1.44 12586.77 180.86 1 in 79
North Dakota 9736 262 2.77 3134 135 3 2.27 1.39 12775.86 177.15 1 in 78
West Virginia 9185 108 1.19 2447 177 6 3.51 1.93 5139.48 99.04 1 in 195
New Hampshire 7094 23 0.33 480 429 1 0.23 6.05 5217.29 315.51 1 in 192
Montana 6376 160 2.57 2295 90 1 1.12 1.41 5965.69 84.21 1 in 168
Hawaii 6356 284 4.68 4159 47 1 2.17 0.74 4489.11 33.20 1 in 223
Alaska 4677 89 1.94 1541 31 1 3.33 0.66 6393.32 42.38 1 in 156
Maine 4318 32 0.75 381 130 1 0.78 3.01 3212.29 96.71 1 in 311
Wyoming 3543 19 0.54 774 37 0 0.00 1.04 6121.72 63.93 1 in 163
Vermont 1553 12 0.78 132 58 0 0.00 3.73 2488.83 92.95 1 in 402

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 10436352 664435 6.37 2549765 157822 6.19 264129.7
2 Florida 4401847 597597 13.58 722404 117569 16.27 204949.3
3 Texas 4640860 589349 12.70 893081 144611 16.19 160052.4
4 New York 7547116 429165 5.69 1575142 13398 0.85 387955.5
5 Georgia 2149170 252222 11.74 553085 62210 11.25 202419.2
6 Illinois 3651102 219701 6.02 910444 37947 4.17 288127.7
7 Arizona 1144134 197895 17.30 195484 20893 10.69 150249.5
8 New Jersey 2648740 189346 7.15 552042 7317 1.33 298208.0
9 North Carolina 2052118 153640 7.49 265706 29634 11.15 195661.9
10 Tennessee 2007760 142083 7.08 464907 33899 7.29 293825.4
11 Louisiana 1738807 141720 8.15 396564 25440 6.42 374034.0
12 Pennsylvania 1540553 133160 8.64 308231 15692 5.09 120337.0
13 Massachusetts 1553673 125360 8.07 365243 7320 2.00 223566.1
14 Alabama 916282 114532 12.50 218911 25183 11.50 186874.9
15 Ohio 1960628 114165 5.82 467725 22078 4.72 167731.3
16 Virginia 1458475 112068 7.68 331114 21267 6.42 170871.3
17 South Carolina 912132 111295 12.20 200263 20696 10.33 177157.2
18 Michigan 2459039 106044 4.31 582209 14712 2.53 246227.5
19 Maryland 1220441 103523 8.48 291087 14158 4.86 201869.9
20 Indiana 969646 85317 8.80 211040 18195 8.62 144030.7
21 Mississippi 533622 77268 14.48 72149 17387 24.10 179299.5
22 Missouri 904694 74952 8.28 207949 23320 11.21 147406.0
23 Washington 1019886 70595 6.92 46232 13054 28.24 133933.1
24 Wisconsin 1185514 70009 5.91 231511 16007 6.91 203611.4
25 Minnesota 1051256 68867 6.55 204988 13679 6.67 186405.1
26 Nevada 570126 65069 11.41 95906 15995 16.68 185096.5
27 Arkansas 659138 56199 8.53 144557 13026 9.01 218414.9
28 Iowa 578355 55996 9.68 99385 10703 10.77 183309.7
29 Colorado 918926 54864 5.97 385523 7615 1.98 159570.8
30 Oklahoma 811934 52599 6.48 174742 14868 8.51 205190.8
31 Connecticut 1022370 51519 5.04 228374 1709 0.75 286756.7
32 Utah 622363 48814 7.84 89103 8112 9.10 194127.0
33 Kentucky 748467 43066 5.75 151793 12343 8.13 167529.5
34 Kansas 366315 37388 10.21 73808 9796 13.27 125738.2
35 Nebraska 336582 31780 9.44 61323 5389 8.79 173997.4
36 Idaho 235853 29659 12.58 53980 8549 15.84 131609.6
38 Oregon 516464 24710 4.78 106848 5893 5.52 122450.5
39 New Mexico 704955 24302 3.45 146943 3506 2.39 336200.5
40 Rhode Island 454977 21022 4.62 248961 2000 0.80 429482.5
41 Delaware 219876 16828 7.65 36980 1951 5.28 225800.1
42 District of Columbia 262440 13534 5.16 68659 1477 2.15 371860.2
43 South Dakota 135630 11135 8.21 22698 2268 9.99 153313.3
44 North Dakota 189038 9736 5.15 32853 3134 9.54 248061.2
45 West Virginia 391858 9185 2.34 104634 2447 2.34 219264.6
46 New Hampshire 194675 7094 3.64 33713 480 1.42 143173.8
47 Montana 209716 6376 3.04 38163 2295 6.01 196220.4
48 Hawaii 173550 6356 3.66 50299 4159 8.27 122574.6
49 Alaska 326287 4677 1.43 87654 1541 1.76 446024.5
50 Maine 227751 4318 1.90 58005 381 0.66 169430.9
51 Wyoming 64856 3543 5.46 11514 774 6.72 112060.5
52 Vermont 118604 1553 1.31 23212 132 0.57 190073.9

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 682383 24933 3.79 488271 71.55 171542 22253 555 2.56 3.26
Tamil Nadu 379385 11955 3.25 319327 84.17 53541 6517 177 2.79 1.72
Andhra Pradesh 353111 18171 5.43 260087 73.66 89742 3282 190 6.14 0.93
Karnataka 277814 13268 5.02 189564 68.23 83551 4683 161 3.56 1.69
Uttar Pradesh 187781 10542 5.95 135613 72.22 49242 2926 129 4.61 1.56
Delhi 161466 2862 1.80 145388 90.04 11778 4300 30 0.70 2.66
West Bengal 138870 6506 4.92 108007 77.78 28069 2794 105 3.90 2.01
Bihar 122156 4485 3.81 98454 80.60 23091 610 22 3.74 0.50
Telangana 104249 4858 4.89 80586 77.30 22908 755 18 2.44 0.72
Assam 90741 2832 3.22 70901 78.14 19595 242 15 6.61 0.27
Gujarat 86779 2313 2.74 69329 79.89 14555 2895 28 0.98 3.34
Odisha 78530 5812 7.99 54406 69.28 23662 462 19 4.29 0.59
Rajasthan 70609 2655 3.91 55324 78.35 14330 955 22 2.36 1.35
Kerala 58262 4080 7.53 37645 64.61 20330 224 20 9.80 0.38
Haryana 54386 2257 4.33 44822 82.41 8961 603 18 3.08 1.11
Madhya Pradesh 53129 2489 4.92 40390 76.02 11510 1229 44 3.71 2.31
Punjab 41779 2452 6.23 26528 63.50 14165 1086 95 9.59 2.60
Jammu and Kashmir 32647 1276 4.07 24832 76.06 7198 617 24 4.05 1.89
Jharkhand 30178 1982 7.03 20136 66.72 9724 318 21 7.07 1.05
Chhattisgarh 20918 1408 7.22 12931 61.82 7790 197 17 9.44 0.94
Uttarakhand 15124 1041 7.39 10480 69.29 4389 200 8 4.17 1.32
Goa 13999 515 3.82 10472 74.81 3383 144 9 6.67 1.03
Puducherry 10522 928 9.67 6657 63.27 3706 159 16 11.19 1.51
Tripura 8717 611 7.54 6182 70.92 2445 72 3 4.35 0.83
Manipur 5246 197 3.90 3616 68.93 1608 22 2 10.00 0.42
Himachal Pradesh 5001 273 5.77 3461 69.21 1463 28 4 16.67 0.56
Nagaland 3686 67 1.85 2294 62.24 1376 8 1 14.29 0.22
Arunachal Pradesh 3263 137 4.38 2297 70.40 961 5 0 0.00 0.15
Chandigarh 2918 287 10.91 1492 51.13 1387 37 4 12.12 1.27
Andaman and Nicobar Islands 2860 113 4.11 1963 68.64 864 33 1 3.12 1.15
Ladakh 2279 146 6.84 1491 65.42 765 23 4 21.05 1.01
Dadra and Nagar Haveli and Daman and Diu 2159 76 3.65 1744 80.78 391 2 0 0.00 0.09
Meghalaya 1917 199 11.58 776 40.48 1133 8 2 33.33 0.42
Sikkim 1403 67 5.01 871 62.08 529 3 0 0.00 0.21
Mizoram 918 23 2.57 459 50.00 459 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1469893 98077 185 0.19 6.67 148 14 5576 16852 17.18
Piemonte 555594 32301 41 0.13 5.81 80 4 1031 4143 12.83
Emilia-Romagna 820652 30788 80 0.26 3.75 75 8 1925 4455 14.47
Veneto 1443092 21810 160 0.74 1.51 44 4 1992 2104 9.65
Toscana 492579 11116 53 0.48 2.26 30 6 928 1139 10.25
Liguria 221618 10617 34 0.32 4.79 18 1 375 1571 14.80
Lazio 488274 9763 215 2.25 2.00 265 6 1870 873 8.94
Marche 192099 7105 10 0.14 3.70 11 1 242 987 13.89
Campania 379352 5584 61 1.10 1.47 55 1 792 440 7.88
P.A. Trento 177685 5025 9 0.18 2.83 3 1 40 405 8.06
Puglia 281824 4992 22 0.44 1.77 62 4 436 555 11.12
Sicilia 324201 3967 48 1.22 1.22 45 8 874 286 7.21
Abruzzo 146579 3628 24 0.67 2.48 32 1 313 472 13.01
Friuli Venezia Giulia 302592 3616 33 0.92 1.20 9 2 272 348 9.62
P.A. Bolzano 128853 2856 19 0.67 2.22 8 1 146 292 10.22
Sardegna 123056 1653 44 2.73 1.34 14 0 257 134 8.11
Umbria 140785 1620 18 1.12 1.15 12 1 142 80 4.94
Calabria 143728 1390 11 0.80 0.97 11 1 158 97 6.98
Valle d’Aosta 23907 1221 0 0.00 5.11 1 0 11 146 11.96
Molise 31086 510 1 0.20 1.64 1 0 57 23 4.51
Basilicata 52817 497 3 0.61 0.94 0 0 66 28 5.63

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61599 104 0.17 5739 6 0.10 9.32 7214.96 672.20 1 in 139
Ontario 43218 92 0.21 2842 1 0.04 6.58 2937.64 193.18 1 in 340
Alberta 12748 0 0.00 230 0 0.00 1.80 2888.64 52.12 1 in 346
British Columbia 4915 0 0.00 202 0 0.00 4.11 961.67 39.52 1 in 1040
Saskatchewan 1597 2 0.13 22 0 0.00 1.38 1351.48 18.62 1 in 740
Nova Scotia 1078 1 0.09 64 0 0.00 5.94 1102.86 65.48 1 in 907
Manitoba 872 42 5.06 12 0 0.00 1.38 633.02 8.71 1 in 1580
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 188 0 0.00 2 0 0.00 1.06 241.03 2.56 1 in 4149
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4657 77 1.65
Guangdong 1727 8 0.46
Zhejiang 1277 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shanghai 875 7 0.80
Shandong 830 7 0.84
Jiangsu 665 0 0.00
Sichuan 628 3 0.48
Chongqing 583 6 1.03
Fujian 372 1 0.27
Shaanxi 362 3 0.83
Hebei 359 6 1.67
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 218 3 1.38
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 17320.02 538.98 1 in 58
Brazil 17115.92 545.87 1 in 58
India 2274.04 42.35 1 in 440
Russia 6571.15 112.58 1 in 152
South Africa 10702.49 228.97 1 in 93
Peru 17906.96 846.91 1 in 56
Mexico 4305.08 466.36 1 in 232
Colombia 10640.68 337.64 1 in 94
Chile 21922.88 597.89 1 in 46
Spain 8273.77 618.05 1 in 121
Iran 4396.16 252.61 1 in 227
Argentina 7607.91 154.69 1 in 131
United Kingdom 4915.64 624.76 1 in 203
Saudi Arabia 9300.85 109.87 1 in 108
Bangladesh NA NA 1 in NA
Pakistan 1483.12 31.63 1 in 674
France 4113.48 455.55 1 in 243
Italy 4268.12 585.81 1 in 234
Turkey 3180.70 75.51 1 in 314
Germany 2824.75 111.99 1 in 354

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 231841 23646 10.20
Los Angeles California 230662 5537 2.40
Miami-Dade Florida 151214 2238 1.48
Maricopa Arizona 131685 2776 2.11
Cook Illinois 120567 5008 4.15
Harris Texas 97745 2011 2.06
Broward Florida 68891 1088 1.58
Dallas Texas 67486 878 1.30
Clark Nevada 56010 1027 1.83
Riverside California 49482 927 1.87
Orange California 45801 896 1.96
Bexar Texas 44814 992 2.21
San Bernardino California 44603 691 1.55
Suffolk New York 44456 2001 4.50
Nassau New York 44205 2196 4.97
Palm Beach Florida 40387 1059 2.62
Tarrant Texas 37407 557 1.49
Westchester New York 36651 1449 3.95
San Diego California 36203 660 1.82
Hillsborough Florida 35574 519 1.46
Orange Florida 34538 361 1.05
Philadelphia Pennsylvania 32936 1736 5.27
Wayne Michigan 29854 2857 9.57
Kern California 27658 238 0.86
Travis Texas 25559 353 1.38
Shelby Tennessee 25527 364 1.43
Duval Florida 25454 235 0.92
Prince George’s Maryland 25343 777 3.07
Middlesex Massachusetts 24698 2043 8.27
Hidalgo Texas 23993 1071 4.46
Mecklenburg North Carolina 23978 271 1.13
Fulton Georgia 23622 489 2.07
Milwaukee Wisconsin 23144 479 2.07
Gwinnett Georgia 22991 304 1.32
Fresno California 22840 226 0.99
Davidson Tennessee 22656 245 1.08
Salt Lake Utah 22631 224 0.99
Suffolk Massachusetts 21588 1093 5.06
Hennepin Minnesota 21466 865 4.03
Bergen New Jersey 21316 2031 9.53
Pima Arizona 20446 551 2.69
Franklin Ohio 20443 553 2.71
Essex New Jersey 20088 2112 10.51
Hudson New Jersey 20018 1510 7.54
Montgomery Maryland 19385 814 4.20
Pinellas Florida 19352 595 3.07
El Paso Texas 19316 392 2.03
Cameron Texas 19001 648 3.41
King Washington 18546 712 3.84
Fairfield Connecticut 18434 1411 7.65
Middlesex New Jersey 18248 1420 7.78
Passaic New Jersey 18144 1246 6.87
Lee Florida 17956 398 2.22
Nueces Texas 17854 306 1.71
St. Louis Missouri 17721 713 4.02
Essex Massachusetts 17574 1215 6.91
Fairfax Virginia 17531 539 3.07
Marion Indiana 17339 743 4.29
Oakland Michigan 17106 1151 6.73
Union New Jersey 16967 1352 7.97
Alameda California 16693 234 1.40
Out of GA Georgia 16439 110 0.67
Polk Florida 16158 404 2.50
Providence Rhode Island 16142 0 0.00
Jefferson Louisiana 16006 537 3.35
San Joaquin California 15888 295 1.86
DeKalb Georgia 15860 278 1.75
Cobb Georgia 15816 368 2.33
Santa Clara California 15496 224 1.45
Sacramento California 15247 234 1.53
Cuyahoga Ohio 14881 552 3.71
Baltimore Maryland 14585 586 4.02
Jefferson Alabama 14579 285 1.95
Rockland New York 14118 674 4.77
Fort Bend Texas 14034 214 1.52
Baltimore City Maryland 13897 449 3.23
Lake Illinois 13808 455 3.30
DuPage Illinois 13686 529 3.87
District of Columbia District of Columbia 13534 604 4.46
Wake North Carolina 13522 188 1.39
New Haven Connecticut 13442 1111 8.27
Stanislaus California 13282 228 1.72
Charleston South Carolina 13257 226 1.70
East Baton Rouge Louisiana 13226 395 2.99
Worcester Massachusetts 13196 1036 7.85
Tulare California 13117 210 1.60
Hartford Connecticut 13002 1422 10.94
Douglas Nebraska 12569 148 1.18
Oklahoma Oklahoma 12515 142 1.13
Contra Costa California 12362 164 1.33
Tulsa Oklahoma 12253 125 1.02
Yuma Arizona 12043 304 2.52
Macomb Michigan 11879 958 8.06
Polk Iowa 11653 214 1.84
Greenville South Carolina 11523 243 2.11
Mobile Alabama 11510 241 2.09
Orange New York 11328 493 4.35
Collier Florida 11201 163 1.46
Orleans Louisiana 11134 569 5.11
Ocean New Jersey 10908 1025 9.40

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc